Overview
The module will focus on the applications of robotic automation technology and IoT system on smart manufacturing processes. The fundamentals of robotics and mechanism design will be introduced to enable students to implement robotic automation solutions on factory floor. Participants will learn to setup a robotic workcell, carry out offline robot programming and integrate sensors to enhance the capability of the workcell. Internet of things (IoT) will be introduced to enable data acquisition and monitoring of the manufacturing processes.
What You’ll Learn
After successfully completing this module, the participants will be able to:
- Understand the fundamentals of robotics, including the anatomy and characteristics of robot manipulators, as well as an overview of robot kinematics.
- Perform mechanism design and synthesis.
- Understand and apply human-robot collaboration in the smart factory setting.
- Perform offline robot programming and simulation to setup robotic workcells for manufacturing process automation.
- Integrate automated identification & data capture technology including radio frequency identification (RFID) and machine vision into robotic workcell.
- Understand IoT ecosystem and key components for implementing IoT solutions.
- Implement sensing and data acquisition through IoT on robotic workcells.
- Design dashboard to display data stream from IoT devices.
Who Should Attend
- Production Engineer
- Manufacturing Engineer
- Automation Engineer
- Mechanical Engineer
- Professionals who are keen to learn about the applications of robotics, automation and IoT technologies in manufacturing industries
SITizens Learning Credits (SLC) - Eligible Course
This course is SITizens Learning Credits (SLC) eligible. Please refer to the
user guide on how to register for courses utilising your SLC.
Find out more about
SITizens Learning Credits (SLC).
Prerequisites
Bachelor degree in Engineering or other relevant degree from a recognized university.
Certificate and Assessment
A Certificate of Participation will be issued to participants who:
- Attend 75% of the course
- Undertake non-credit bearing assessment (during course)
A Certificate of Attainment will be issued to participants who:
- Attend 75% of the course
- Complete the course and pass the all credit-bearing assessments.
Schedule
Day 1: 2 Nov
| Topics |
| Welcome and Registration |
| Robotic Fundamentals |
| Tea Break |
| Robotic Fundamentals (Con’t) |
| Lunch |
| Robotic Modeling |
| Tea Break |
| Robot Modeling (Con’t) |
| Quiz/ Q&A |
| End of Day 1 |
Day 2: 12 Nov
| Topics |
| Welcome and Registration |
| Robot Programming |
| Tea Break |
| RAPID robot programming language |
| Lunch |
| Offline robot programming |
| Tea Break |
| Offline robot programming (cont.) |
| Quiz/ Q&A |
| End of Day 2 |
Day 3: 16 Nov 2021
| Topics |
| Welcome and Registration |
| End-effectors, Mechanism Design and Synthesis |
| Tea Break |
| Parallel Robots |
| Lunch |
| Parallel Robots (Con’t) |
| Tea Break |
| Collaborative Robots |
| Quiz/ Q&A |
| End of Day 3 |
Day 4: 26 Nov 2021
| Topics |
| Welcome and Registration |
| RFID |
| Tea Break |
| RFID (cont.) |
| Machine Vision |
| Tea Break |
| Machine Vision (cont.) |
| Quiz/ Q&A |
| End of Day 4 |
Day 5: 29 Nov2021
| Topics |
| Welcome and Registration |
| IoT Ecosystems |
| Tea Break |
| Embedded Systems |
| Lunch |
| Embedded Sensory |
| Tea Break |
| Communications I |
| Quiz/ Q&A |
| End of Day 5 |
Day 6: 6 Dec 2021
| Topics |
| Welcome and Registration |
| Communications II |
| Tea Break |
| Cloud Technology |
| Lunch |
| Dashboard Design and Development I |
| Tea Break |
| Dashboard Design and Development II) |
| Quiz/ Q&A |
End of Day 6
Exam: 13 Dec 2021 |
Fees
| Category |
Full Fee |
After SF Funding |
Singapore Citizen (Below 40) /
Singapore PR |
$5,778.00 |
$1,733.40 |
| Singapore Citizen (40 & above) |
$5,778.00 |
$653.40 |
| Non-Singaporeans |
$5,778.00 |
Not Eligible |
Note:
- All figures include GST. GST applies to individuals and Singapore-registered companies.
- You can opt for either SkillsFuture Funding or Mid-Career Enhanced Subsidy. Both cannot be combined.
Learn more about funding types available
Terms & Conditions:
SkillsFuture Funding
To be eligible for the 70% training grant awarded, applicants (and/or their sponsoring organisations where applicable) must:
- Be a Singaporean Citizen or Singapore Permanent Resident
- Not receive any other funding from government sources in respect of the actual grant disbursed for the programme
SkillsFuture Mid-Career Enhanced Subsidy
To be eligible for the 90% enhanced subsidy awarded, applicants (and/or their sponsoring organisations where applicable) must:
- Be a Singaporean Citizen
- Be at least 40 years old
- Not receive any other funding from government sources in respect of the actual grant disbursed for the programme
SIT reserves the right to collect the balance of the programme fees (i.e. the potential grant amount) directly from the applicants (and/or their sponsoring organisations where applicable) should the above requirements not be fulfilled.
SIT reserves the right to make changes to published course information, including dates, times, venues, fees and instructors without prior notice.
Course Series
Find out more about the Modular Certification Courses - Data Engineering and Smart Factory.
These modules are stackable towards a Postgraduate Certificate in Data Engineering and Smart Factory (PGCert in DESF) or can be taken individually as a single module as follows:
Modules
- DSF6010 Application of Data Engineering
- DSF6020 Operational Excellence for Smart Factory
- DSF6030 Managing and Leading AI Projects for Smart Factory
- DSF6040 Application of Robotics & Automation for Smart Factory
Candidates who pass all
4 modules (totalling 24 credits) with a CGPA of ≥ 2.5 will be awarded the
Postgraduate Certificate in Data Engineering and Smart Factory by SIT.
